Cubature Kalman filter in initial alignment of large heading error in SINS

Initial alignment is a key step in strapdown inertial navigation systems. In order to improve the accuracy of the navigation system with a large heading error, nonlinear error model is adopted and the cubature Kalman filter is applied to solve the filtering problem. We focus on the stationary basement, simulation results show good performance in case of nonlinear filtering problems and it is more efficient than EKF.

[1]  Donald Benson,et al.  A Comparison of Two Approaches to Pure-Inertial and Doppler-Inertial Error Analysis , 1975, IEEE Transactions on Aerospace and Electronic Systems.

[2]  Itzhack Bar-itzhack,et al.  The Psi-Angle Error Equation in Strapdown Inertial Navigation Systems , 1978, IEEE Transactions on Aerospace and Electronic Systems.

[3]  S. Haykin,et al.  Cubature Kalman Filters , 2009, IEEE Transactions on Automatic Control.

[4]  Yeon Fuh Jung,et al.  Error Estimation of INS Ground Alignment Through Observability Analysis , 1992 .

[5]  Hugh F. Durrant-Whyte,et al.  Development of a nonlinear psi-angle model for large misalignment errors and its application in INS alignment and calibration , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[6]  Gao Yanan,et al.  Unscented Kalman filter for SINS alignment , 2007 .